Triple

T4638056
Position Surface form Disambiguated ID Type / Status
Subject Morava E101581 entity
Predicate flowsThrough P225 FINISHED
Object Slovakia E18249 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Slovakia | Statement: [Morava, flowsThrough, Slovakia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovakia
Context triple: [Morava, flowsThrough, Slovakia]
  • A. Slovakia chosen
    Slovakia is a landlocked Central European country known for its mountainous landscapes, medieval castles, and membership in major international organizations such as the European Union and NATO.
  • B. Czech Republic
    The Czech Republic is a landlocked Central European country known for its historic cities like Prague, rich cultural heritage, and membership in major international organizations such as the European Union and NATO.
  • C. Slovakia and Hungary
    Slovakia and Hungary are neighboring Central European countries that share a significant stretch of their border along the Danube River.
  • D. Austria and Slovakia
    Austria and Slovakia are neighboring Central European countries that share a border along the Morava River.
  • E. Czechoslovakia
    Czechoslovakia was a Central European country that existed from 1918 to 1992, known for its interwar democracy, industrial strength, and later communist rule within the Eastern Bloc.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a64214481908a207e8070cc7a45 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c7add98819089fbff1a21a19e28 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:13 p.m.